Publication activity
Articles grouped by publication year
Hover over a year or focus the chart and use arrow keys to inspect values.
2026 is year to date. 0 undated publications excluded.
Research across participating journals · All insights follow your collection filters.
Publication activity alongside incoming citations.
Articles grouped by publication year
Hover over a year or focus the chart and use arrow keys to inspect values.
2026 is year to date. 0 undated publications excluded.
OpenAlex · year of the citing work
Hover over a year or focus the chart and use arrow keys to inspect values.
2017–2026 annual-history window. 2026 is year to date. Unknown years have gaps.
Leading affiliations and themes in this collection.
Full distributions & methodology ↓Independent sources. Clear time scales.
Crossref and OpenAlex · separate totals for the same publication cohorts
Hover over a year or focus the chart and use arrow keys to inspect values.
Latest lifetime totals, grouped by the cited article’s year. These are not citations received in that year.
OpenAlex · incoming citation links grouped by citing-work year
Hover over a year or focus the chart and use arrow keys to inspect values.
2017–2026 annual-history window. 2026 is year to date. Unknown years have gaps.
Select journals to compare the same collection filters. Source totals stay separate. These measures describe research activity, not journal quality.
Articles by publication year
Latest lifetime totals · grouped by publication year
Latest lifetime totals · grouped by publication year
By year of the citing work · 2017–2026
2026 is year to date. Crossref and OpenAlex lifetime charts share a citation scale. Unknown observations appear as gaps; known zero stays zero. Annual receipts use available OpenAlex histories and may not sum to lifetime totals. 0 undated publications excluded from publication-year charts.
Crossref citation coverage: 4 / 4 publications (100.0%). Latest observation: 21 Oct 2026, 07:22 UTC. Means and percentages use records with known counts.
DOI-matched OpenAlex observations for the same selected publications. These counts are separate from Crossref and are never added together.
Observation range: 21 Oct 2026 07:22 UTC — 21 Oct 2026 07:22 UTC. Missing matches are not zero citations. Previous observations may remain if a refresh fails or a DOI no longer matches.
OpenAlex affiliations and primary-topic classification. Each publication counts once per institution or country; multi-affiliated publications appear in multiple groups, so percentages can sum above 100%. Countries describe author affiliations, not nationality. Topics use one primary topic per publication.
3 / 4 with data · 1 missing or unmatched. Percentages use all 4 selected publications.
3 / 4 with data · 1 missing or unmatched. Percentages use all 4 selected publications.
4 / 4 with data · 0 missing or unmatched. Percentages use all 4 selected publications.
Citations are the latest recorded totals for articles published in each year, not citations received during that year. Crossref and OpenAlex remain separate and share the same citation scale. 2026 is incomplete; newer articles have had less time to receive citations.
0 undated publications excluded. Unknown citation counts are shown as —, never as zero. Partial coverage can understate totals; expand each table for known / total records.
| Publication year | Journal / scope | Publications | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2023 | All selected publications | 4 | 4 | 4/4 | 4/4 |
| Publication year | Journal / scope | Crossref citations | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2023 | All selected publications | 20 | 4 | 4/4 | 4/4 |
| Publication year | Journal / scope | OpenAlex citations | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2023 | All selected publications | 26 | 4 | 4/4 | 4/4 |
Incoming citations to the selected publications, grouped by the year of the citing work. This is separate from lifetime citation totals grouped by the cited article’s publication year.
The publication filters above define which articles receive the citations. The citation-year range below only controls this chart and the incoming-citation comparison. Removing publication-year filters includes older articles’ incoming citations too.
Annual history available for 4 / 4 selected publications. Supported display window: 2017–2026; 2026 is incomplete. Within a successfully fetched ten-year window, omitted years mean zero. Missing histories and years beyond a saved observation’s window remain unknown (—); partial coverage can understate totals.
Annual-history observations (UTC): 2026-10-21T07:22:46.765265+00:00 — 2026-10-21T07:22:49.836544+00:00. Older observations may be retained after failed or incomplete refreshes.
| Citation year | Journal / scope | OpenAlex · Citations received by year | Publications | Annual history known |
|---|---|---|---|---|
| 2017 | All selected publications | 0 | 4 | 4/4 |
| 2018 | All selected publications | 0 | 4 | 4/4 |
| 2019 | All selected publications | 0 | 4 | 4/4 |
| 2020 | All selected publications | 0 | 4 | 4/4 |
| 2021 | All selected publications | 0 | 4 | 4/4 |
| 2022 | All selected publications | 0 | 4 | 4/4 |
| 2023 | All selected publications | 5 | 4 | 4/4 |
| 2024 | All selected publications | 12 | 4 | 4/4 |
| 2025 | All selected publications | 4 | 4 | 4/4 |
| 2026 | All selected publications | 5 | 4 | 4/4 |
Counts represent citation links, not unique citing papers across a journal: one paper citing two selected articles contributes two links. Older citations outside this window are excluded, so annual sums need not equal lifetime totals. OpenAlex methodology ↗
Publications by publication year. 2026 is an incomplete year.
| Period | Publications |
|---|---|
| 2023 | 4 |
Latest Crossref totals for the selected publications; not citations received in the selected years.
Unknown counts are excluded from the mean, median and cited-publication rate.
Same filters, source and counting rules across journals. Descriptive statistics, not a quality ranking.
| Journal / publisher | Publications | Crossref citations | OpenAlex citations | OpenAlex coverage | Crossref mean | Crossref median | Crossref cited %* | Crossref coverage |
|---|---|---|---|---|---|---|---|---|
| International Journal of Research in Business and Social Science SSBFNET | 4 | 20 | 26 | 4/4 | 5.0 | 4.5 | 100.0 | 4/4 · 100.0% |
* Percentage among publications with a known citation count.
Gender-based violence and femicide (GBVF) is a multifaceted complex phenomenon that needs urgent comprehensive attention in South Africa and other similarly or worse-off affected countries. Central to combating and eliminating GBVF starts with a systematic understanding of the drivers of GBVF. The research aims to develop a conceptual framework of drivers of gender-based violence and femicide, which can be applied to different GVBF improvement studies. The conceptual framework was developed using ecological system theory having 20 indicators relating to: microsystem – personal history and individual factors; mesosystem – interpersonal relationships; exosystem – community factors; macrosystem – societal factors; and chronosystem – significant changes over time. The framework interlinking these GBVF drivers allows for the diagnosis of the main drivers of GBVF and estimates its impact on the victims and their families. This, in turn, can help to combat and eliminate GBVF through moderation with GBVF policies and strategies. This study contributes to systematically demystifying of drivers of GBVF, especially in South Africa and similar African countries.
The crucial mandate for any state is that learners attain their education in a safe learning environment. Learners’ access to a high-quality, inclusive, equitable education, and their capacity are jeopardised by the pervasive gender-based violence in and around schools. This paper aims to investigate the impact of gender-based violence on girls in the selected secondary schools in Limpopo Province of South Africa. From the qualitative standpoint, coupled with the case study research design, this study used a purposive sample to select 15 (n = 15) participants. Data were collected through literature reviews and the application of semi-structured Key Informant Interviews and analysed using Thematic Analysis. The findings of this study include (i) low school performance, (ii) learners who are dropping out, (iii) learners’ inability to exercise their human rights and their right to an education, (iv) lack of a well-resourced and strong criminal justice system, and (v) an intervention team to address the impact of gender-based violence on girls. This study concludes that gender-based violence should be taught as a subject in schools to address the persistent issue in South Africa for learners to understand abuse and violation in the future. This paper recommends that all stakeholders in our society—civil, social workers, and law enforcement authorities—collaborate more closely than they currently do to end gender-based violence against schoolgirls.
South Africa has been battling the scourge of the COVID-19 Pandemic which has negatively affected many individuals and families. The South African government imposed a national lockdown to mitigate the negative impacts of the COVID-19 pandemic. However, the lockdown also brought more challenges such as increased violence cases. Against this background, this study sought to analyse the COVID-19 lockdown and domestic violence in South Africa. A non-empirical research design was used where documents from search engines such as Google scholar, EBSCOhost and ProQuest were sampled and reviewed using keywords and phrases related to COVID-19, lockdown and domestic violence to filter relevant data, restricted to 2002-2022. The inductive Thematic Content Analysis (TCA) was used to analyze the collected data. Findings reveal that the South African Lockdown has contributed to the rise of domestic violence cases during the COVID-19 pandemic. Results further indicate that victims of domestic violence face psychosocial challenges due to domestic violence. Programs that are aimed at creating awareness and empowering victims of domestic violence are recommended by this study. It is further recommended that policies protecting citizens against domestic violence be reviewed and strengthened.
The study investigates the relationship between masculinities, narcissism, and gender-based violence (GBV) among Congolese male refugees in Durban, South Africa. The research uses a qualitative approach and 25 in-depth interviews to identify major themes. Results show that Congolese male refugees reinforce their masculinities through narcissistic behaviors, which contribute to GBV. Societal stakeholders in Durban should be involved in addressing GBV prevention initiatives to hinder men's narcissistic attitudes and beliefs. Recognizing a partner's depth can help reduce GBV by recognizing the positive attention they expect from them.
The crucial mandate for any state is that learners attain their education in a safe learning environment. Learners’ access to a high-quality, inclusive, equitable education, and their capacity are jeopardised by the pervasive gender-based violence in and around schools. This paper aims to investigate the impact of gender-based violence on girls in the selected secondary schools in Limpopo Province of South Africa. From the qualitative standpoint, coupled with the case study research design, this study used a purposive sample to select 15 (n = 15) participants. Data were collected through literature reviews and the application of semi-structured Key Informant Interviews and analysed using Thematic Analysis. The findings of this study include (i) low school performance, (ii) learners who are dropping out, (iii) learners’ inability to exercise their human rights and their right to an education, (iv) lack of a well-resourced and strong criminal justice system, and (v) an intervention team to address the impact of gender-based violence on girls. This study concludes that gender-based violence should be taught as a subject in schools to address the persistent issue in South Africa for learners to understand abuse and violation in the future. This paper recommends that all stakeholders in our society—civil, social workers, and law enforcement authorities—collaborate more closely than they currently do to end gender-based violence against schoolgirls.
Gender-based violence and femicide (GBVF) is a multifaceted complex phenomenon that needs urgent comprehensive attention in South Africa and other similarly or worse-off affected countries. Central to combating and eliminating GBVF starts with a systematic understanding of the drivers of GBVF. The research aims to develop a conceptual framework of drivers of gender-based violence and femicide, which can be applied to different GVBF improvement studies. The conceptual framework was developed using ecological system theory having 20 indicators relating to: microsystem – personal history and individual factors; mesosystem – interpersonal relationships; exosystem – community factors; macrosystem – societal factors; and chronosystem – significant changes over time. The framework interlinking these GBVF drivers allows for the diagnosis of the main drivers of GBVF and estimates its impact on the victims and their families. This, in turn, can help to combat and eliminate GBVF through moderation with GBVF policies and strategies. This study contributes to systematically demystifying of drivers of GBVF, especially in South Africa and similar African countries.
The study investigates the relationship between masculinities, narcissism, and gender-based violence (GBV) among Congolese male refugees in Durban, South Africa. The research uses a qualitative approach and 25 in-depth interviews to identify major themes. Results show that Congolese male refugees reinforce their masculinities through narcissistic behaviors, which contribute to GBV. Societal stakeholders in Durban should be involved in addressing GBV prevention initiatives to hinder men's narcissistic attitudes and beliefs. Recognizing a partner's depth can help reduce GBV by recognizing the positive attention they expect from them.
South Africa has been battling the scourge of the COVID-19 Pandemic which has negatively affected many individuals and families. The South African government imposed a national lockdown to mitigate the negative impacts of the COVID-19 pandemic. However, the lockdown also brought more challenges such as increased violence cases. Against this background, this study sought to analyse the COVID-19 lockdown and domestic violence in South Africa. A non-empirical research design was used where documents from search engines such as Google scholar, EBSCOhost and ProQuest were sampled and reviewed using keywords and phrases related to COVID-19, lockdown and domestic violence to filter relevant data, restricted to 2002-2022. The inductive Thematic Content Analysis (TCA) was used to analyze the collected data. Findings reveal that the South African Lockdown has contributed to the rise of domestic violence cases during the COVID-19 pandemic. Results further indicate that victims of domestic violence face psychosocial challenges due to domestic violence. Programs that are aimed at creating awareness and empowering victims of domestic violence are recommended by this study. It is further recommended that policies protecting citizens against domestic violence be reviewed and strengthened.
Source coverage refers to this result set; a publication may occur in several sources. Sync times refer to contributing journals.
Missing abstracts: 0 · Missing authors: 0 · Missing publication dates: 0 · Dates without day precision: 0
| Source | Most recent successful journal sync | Latest attempt |
|---|---|---|
| crossref | 21 Oct 2026 07:22 UTC · ijrbs | complete · ijrbs · 21 Oct 2026 07:22 UTC |
| ojs-rest | 21 Oct 2026 07:22 UTC · ijrbs | complete · ijrbs · 21 Oct 2026 06:46 UTC |
| oai-pmh | 20 Oct 2026 19:55 UTC · ijrbs | complete · ijrbs · 20 Oct 2026 19:50 UTC |
| openalex-enrichment | 21 Oct 2026 07:23 UTC · ijrbs | complete · ijrbs · 21 Oct 2026 07:22 UTC |